Canadian Consortium on Neurodegeneration in Aging (CCNA) Partners Forum and Science Days 2022: Abstracts from the Poster Sessions October 11–14, 2022
Bibliographic record
Abstract
Plain Language Summary: Our study investigated the impact of CPAP on cognition in cognitively impaired sleep apnea patients while controlling for daytime sleepiness.Patients using CPAP had increased cognitive scores at follow-up relative to patients who were non users.These findings indicate that CPAP may stabilize cognitive dysfunction in a manner outside of simply reducing daytime sleepiness.Study Objectives: To characterize the impact of CPAP use on cognition in a clinical cohort with obstructive sleep apnea (OSA) and cognitive impairment due to neurodegenerative or vascular etiologies after controlling for baseline sleepiness.Methods: We retrospectively analyzed 158 patients with cognitive impairment and an OSA diagnosis confirmed with in-laboratory polysomnography or home sleep apnea testing (mean age 69.9 ± 10.7; 69% male); who had used CPAP for 2-12 months.Baseline and follow-up Epworth Sleepiness Score (ESS), Montreal Cognitive Assessment (MoCA), and Mini-Mental Status Examination (MMSE) were obtained from clinical and research visits conducted before and after CPAP initiation.Good CPAP adherence was defined as CPAP use x≥4 hr/night, 7 days/week at follow-up.Associations between good CPAP adherence and follow-up cognitive scores were analyzed using multivariable linear mixed-effects models.Results: After adjusting for age, sex, body mass index, baseline ESS, duration of CPAP therapy, relevant comorbidities and the random effect of research study cohort, good CPAP adherence (compared to poor CPAP adherence) was associated with a 2.8-point (1.77 -3.79) increase in follow-up MoCA scores (p=7.06×10-8) and a 1.2-point (0.11 -2.22) increase in follow-up MMSE scores (p=0.031). Conclusions:In patients with OSA and cognitive impairment due to a neurodegenerative or vascular etiology, cognitive dysfunction may be stabilized with good adherence to CPAP therapy.The findings of this study will aid in motivating patients to use CPAP and support future randomized controlled trials in this area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".